Digital health tools empowering patients
Self-monitoring
Globally, 7.2% of people own a smartwatch or health device. In the US, up to 59% of users track their steps, heart health, sleep, calories, stress and chronic health conditions using a personal device. Fitbit Labs, Whoop, Oura and Garmin track several biometrics and use Large Language Models (LLMs) to match data gathered during wear-time with a database to help generate health insights for each user.
Apple’s health platform currently uses Traditional Machine Learning to generate insights and recommendations to help maintain a healthy lifestyle. Apple is soon to release an upgrade to its Health app with an ‘AI Doctor’ feature. Back in 2019, Apple’s CEO Tim cook said, “I believe, if you zoom out into the future, and you look back, and you ask the question, ‘What was Apple’s greatest contribution to mankind?’ it will be about health”. Despite the company’s goal of contributing to greater access to healthcare, the new feature is rumoured to come with a fee, potentially jeopardising accessibility and health equity.
Remote monitoring / symptom tracking
By 2027, the projected population using Remote Patient Monitoring (RPM) systems will be 115.5 million. Today, companies such as Biofourmis and Ada Health are harnessing the power of AI to elevate RPM systems by generating insights about a patient’s condition based on the data collected through continuous monitoring. This enables early intervention for conditions like heart failure or respiratory disorders which are some of the key contributors to the increasing healthspan-lifespan gap.
Buoy Health, an AI-powered application, checks users’ symptoms in combination with the latest medical information, to offer possible causes and treatments for an illness or health problem.
Flok Health, a UK-based startup, is an AI-powered screening and physiotherapy service. It is designed to quickly and easily address some of the most common chronic musculoskeletal (MSK) disorders, accessed entirely through their app.
All of these DHTs are designed to improve various aspects of patient care, including prevention, diagnosis, treatment and monitoring and empower individuals to manage their health. They are classified as diagnostic tools and do not replace professional medical advice, which makes the regulatory approval process less complex. Apple’s AI doctor feature may be one of the first widely used digital platforms to provide medical advice, however the regulatory pathway chosen for this feature has not been made clear yet. This may affect its differentiation in the market as well as patient outcomes based on the system’s accuracy and reliability.
Drawbacks and problems of digital health technologies
The adoption of wearable health data into healthcare systems has a long way to go. According to a 2022 Deloitte survey, the biggest challenges faced in this area are:
- The need for wearable data to increase efficiency into HCP workflows
- Scepticism of data accuracy due to the technology itself, or as a result of user error.
In addition, there is a key question to consider – who pays for these digital health technologies to be sophistically integrated into healthcare systems and rolled out on a national scale? If this is to be funded by the taxpayer, usability needs to be high and the results need to be worthwhile. Patient populations may be requested to adopt more or new technologies into their lives, with the goal of improving outcomes. Significant efforts may be needed to change patient behaviours and attitudes to encourage a willingness to adopt new healthcare pathways. Similarly, any integrations must benefit HCPs by streamlining processes, enhancing the efficiency of systems and supporting their practice by providing accurate and reliable information.